corpus.blog
41554 blogs · [ { "id": "01a0c563-dd25-72a4-8efa-f9e7cf617beb", "title": "On Impulsive Noise, CSP, and Correntropy", "url": "https://cyclostationary.blog/2019/08/22/on-impulsive-noise-csp-and-correntropy/?utm_source=rss&utm_medium=rss&utm_campaign=on-impulsive-noise-csp-and-correntropy", "published_at": "2019-08-22T15:37:34+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d01d4672", "title": "Sponsoring the CSP Blog", "url": "https://cyclostationary.blog/2019/07/14/sponsoring-the-csp-blog/?utm_source=rss&utm_medium=rss&utm_campaign=sponsoring-the-csp-blog", "published_at": "2019-07-14T19:40:55+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d110c886", "title": "For the Beginner at CSP", "url": "https://cyclostationary.blog/2019/07/14/for-the-beginner-at-csp/?utm_source=rss&utm_medium=rss&utm_campaign=for-the-beginner-at-csp", "published_at": "2019-07-14T19:32:27+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d1bc76b3", "title": "A Gallery of Cyclic Correlations", "url": "https://cyclostationary.blog/2019/07/14/a-gallery-of-cyclic-correlations/?utm_source=rss&utm_medium=rss&utm_campaign=a-gallery-of-cyclic-correlations", "published_at": "2019-07-14T19:11:41+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d295071b", "title": "On The Shoulders", "url": "https://cyclostationary.blog/2019/04/27/on-the-shoulders/?utm_source=rss&utm_medium=rss&utm_campaign=on-the-shoulders", "published_at": "2019-04-27T22:02:48+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d2ae4b26", "title": "Simple Synchronization Using CSP", "url": "https://cyclostationary.blog/2019/04/26/simple-synchronization-using-csp/?utm_source=rss&utm_medium=rss&utm_campaign=simple-synchronization-using-csp", "published_at": "2019-04-26T19:05:20+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d3286b76", "title": "100,000 Page Views!", "url": "https://cyclostationary.blog/2019/03/26/100000-page-views/?utm_source=rss&utm_medium=rss&utm_campaign=100000-page-views", "published_at": "2019-03-26T23:24:38+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d3c60a9d", "title": "Can a Machine Learn a Power Spectrum Estimator?", "url": "https://cyclostationary.blog/2019/03/01/can-a-machine-learn-a-power-spectrum-estimator/?utm_source=rss&utm_medium=rss&utm_campaign=can-a-machine-learn-a-power-spectrum-estimator", "published_at": "2019-03-01T18:57:31+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d47cdf8e", "title": "Dataset for the Machine-Learning Challenge [CSPB.ML.2018]", "url": "https://cyclostationary.blog/2019/02/15/data-set-for-the-machine-learning-challenge/?utm_source=rss&utm_medium=rss&utm_campaign=data-set-for-the-machine-learning-challenge", "published_at": "2019-02-15T19:07:43+00:00" }, { "id": "01a0c563-dd25-72a4-8efa-f9e7d4e4e1b3", "title": "MATLAB’s SSCA: commP25ssca.m", "url": "https://cyclostationary.blog/2019/01/14/matlabs-ssca-commp25ssca-m/?utm_source=rss&utm_medium=rss&utm_campaign=matlabs-ssca-commp25ssca-m", "published_at": "2019-01-14T20:20:47+00:00" }, { "id": "01a0c56b-2da7-71f8-83a6-b4560af8f9c3", "title": "How we Learned CSP", "url": "https://cyclostationary.blog/2018/10/31/how-we-learned-csp/?utm_source=rss&utm_medium=rss&utm_campaign=how-we-learned-csp", "published_at": "2018-10-31T17:11:43+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d074b2a8", "title": "Useful Signal Processing Blogs or Websites?", "url": "https://cyclostationary.blog/2018/09/27/useful-signal-processing-blogs-or-websites/?utm_source=rss&utm_medium=rss&utm_campaign=useful-signal-processing-blogs-or-websites", "published_at": "2018-09-27T14:09:10+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d07b2695", "title": "Comments on “Detection of Almost-Cyclostationarity: An Approach Based on a Multiple Hypothesis Test” by S. Horstmann et al", "url": "https://cyclostationary.blog/2018/08/13/comments-on-detection-of-almost-cyclostationarity-an-approach-based-on-a-multiple-hypothesis-test-by-s-horstmann-et-al/?utm_source=rss&utm_medium=rss&utm_campaign=comments-on-detection-of-almost-cyclostationarity-an-approach-based-on-a-multiple-hypothesis-test-by-s-horstmann-et-al", "published_at": "2018-08-14T00:38:35+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d0c8018b", "title": "A Challenge for the Machine Learners", "url": "https://cyclostationary.blog/2018/06/24/a-challenge-for-the-machine-learners/?utm_source=rss&utm_medium=rss&utm_campaign=a-challenge-for-the-machine-learners", "published_at": "2018-06-24T23:52:52+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d14e75f8", "title": "CSP Estimators: The FFT Accumulation Method", "url": "https://cyclostationary.blog/2018/06/01/csp-estimators-the-fft-accumulation-method/?utm_source=rss&utm_medium=rss&utm_campaign=csp-estimators-the-fft-accumulation-method", "published_at": "2018-06-01T17:22:15+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d24e07ee", "title": "‘Can a Machine Learn the Fourier Transform?’ Redux, Plus Relevant Comments on a Machine-Learning Paper by M. Kulin et al.", "url": "https://cyclostationary.blog/2018/02/27/can-a-machine-learn-the-fourier-transform-redux-plus-relevant-comments-on-a-machine-learning-paper-by-m-kulin-et-al/?utm_source=rss&utm_medium=rss&utm_campaign=can-a-machine-learn-the-fourier-transform-redux-plus-relevant-comments-on-a-machine-learning-paper-by-m-kulin-et-al", "published_at": "2018-02-27T16:24:26+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d2f89926", "title": "Computational Costs for Spectral Correlation Estimators", "url": "https://cyclostationary.blog/2017/12/05/computational-costs-for-spectral-correlation-estimators/?utm_source=rss&utm_medium=rss&utm_campaign=computational-costs-for-spectral-correlation-estimators", "published_at": "2017-12-06T01:34:44+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d3cdcf16", "title": "CSP Patent: Tunneling", "url": "https://cyclostationary.blog/2017/11/09/csp-patent-tunneling/?utm_source=rss&utm_medium=rss&utm_campaign=csp-patent-tunneling", "published_at": "2017-11-09T18:13:30+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d4215d92", "title": "Resolution in Time, Frequency, and Cycle Frequency for CSP Estimators", "url": "https://cyclostationary.blog/2017/11/03/resolution-in-time-frequency-and-cycle-frequency-for-csp-estimators/?utm_source=rss&utm_medium=rss&utm_campaign=resolution-in-time-frequency-and-cycle-frequency-for-csp-estimators", "published_at": "2017-11-03T21:40:16+00:00" }, { "id": "01a0c56b-2da8-70ae-8c68-08e2d4b2a14f", "title": "CSP Estimators: Cyclic Temporal Moments and Cumulants", "url": "https://cyclostationary.blog/2017/09/11/csp-estimators-cyclic-temporal-moments-and-cumulants/?utm_source=rss&utm_medium=rss&utm_campaign=csp-estimators-cyclic-temporal-moments-and-cumulants", "published_at": "2017-09-11T23:58:15+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf42235643e", "title": "Can a Machine Learn the Fourier Transform?", "url": "https://cyclostationary.blog/2017/08/03/can-a-machine-learn-the-fourier-transform/?utm_source=rss&utm_medium=rss&utm_campaign=can-a-machine-learn-the-fourier-transform", "published_at": "2017-08-03T21:09:45+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf422a0d052", "title": "CSP Blog Highlights", "url": "https://cyclostationary.blog/2017/06/04/csp-blog-highlights/?utm_source=rss&utm_medium=rss&utm_campaign=csp-blog-highlights", "published_at": "2017-06-04T18:11:21+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf4230f011f", "title": "Automatic Spectral Segmentation", "url": "https://cyclostationary.blog/2017/05/30/automatic-spectral-segmentation/?utm_source=rss&utm_medium=rss&utm_campaign=automatic-spectral-segmentation", "published_at": "2017-05-30T23:15:57+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf423b32294", "title": "Blog Notes and How to Obtain Help with Your CSP Work", "url": "https://cyclostationary.blog/2017/04/13/blog-notes-and-how-to-obtain-help-with-your-csp-work/?utm_source=rss&utm_medium=rss&utm_campaign=blog-notes-and-how-to-obtain-help-with-your-csp-work", "published_at": "2017-04-13T14:42:34+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf42454532a", "title": "More on Pure and Impure Sine Waves", "url": "https://cyclostationary.blog/2017/04/05/more-on-pure-and-impure-sine-waves/?utm_source=rss&utm_medium=rss&utm_campaign=more-on-pure-and-impure-sine-waves", "published_at": "2017-04-05T16:59:11+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf4250116a5", "title": "Cyclostationarity of Direct-Sequence Spread-Spectrum Signals", "url": "https://cyclostationary.blog/2017/03/28/cyclostationarity-of-direct-sequence-spread-spectrum-signals/?utm_source=rss&utm_medium=rss&utm_campaign=cyclostationarity-of-direct-sequence-spread-spectrum-signals", "published_at": "2017-03-28T21:35:48+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf425b522fe", "title": "Cumulant (4, 2) is a Good Discriminator? Comments on “Energy-Efficient Processor for Blind Signal Classification in Cognitive Radio Networks,” by E. Rebeiz et al.", "url": "https://cyclostationary.blog/2017/02/11/cumulant-4-2-is-a-good-discriminator/?utm_source=rss&utm_medium=rss&utm_campaign=cumulant-4-2-is-a-good-discriminator", "published_at": "2017-02-12T01:07:34+00:00" }, { "id": "01a0c574-828e-73a5-ab04-cbf426535d46", "title": "Machine Learning and Modulation Recognition: Comments on “Convolutional Radio Modulation Recognition Networks” by T. O’Shea, J. Corgan, and T. Clancy", "url": "https://cyclostationary.blog/2017/01/31/machine-learning-and-modulation-recognition-comments-on-convolutional-radio-modulation-recognition-networks-by-t-oshea-j-corgan-and-t-clancy/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-and-modulation-recognition-comments-on-convolutional-radio-modulation-recognition-networks-by-t-oshea-j-corgan-and-t-clancy", "published_at": "2017-02-01T00:24:41+00:00" }, { "id": "01a0c574-828f-7347-a45d-193c421187a3", "title": "Modulation Recognition Using Cyclic Cumulants, Part I: Problem Description and Variants", "url": "https://cyclostationary.blog/2017/01/16/modulation-recognition-using-cyclic-cumulants-part-i-problem-description-and-variants/?utm_source=rss&utm_medium=rss&utm_campaign=modulation-recognition-using-cyclic-cumulants-part-i-problem-description-and-variants", "published_at": "2017-01-16T21:58:55+00:00" }, { "id": "01a0c574-828f-7347-a45d-193c42f4bddf", "title": "Comments on “Blind Cyclostationary Spectrum Sensing in Cognitive Radios” by W. M. Jang", "url": "https://cyclostationary.blog/2016/12/03/comments-on-blind-cyclostationary-spectrum-sensing-in-cognitive-radios-by-w-m-jang/?utm_source=rss&utm_medium=rss&utm_campaign=comments-on-blind-cyclostationary-spectrum-sensing-in-cognitive-radios-by-w-m-jang", "published_at": "2016-12-03T15:34:40+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2eb910757", "title": "The Periodogram", "url": "https://cyclostationary.blog/2016/12/01/the-periodogram/?utm_source=rss&utm_medium=rss&utm_campaign=the-periodogram", "published_at": "2016-12-01T18:36:47+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2ec016a77", "title": "Cyclic Polyspectra", "url": "https://cyclostationary.blog/2016/11/12/cyclic-polyspectra/?utm_source=rss&utm_medium=rss&utm_campaign=cyclic-polyspectra", "published_at": "2016-11-12T21:56:37+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2ec340b51", "title": "Comments on “Cyclostationary Correntropy: Definition and Application” by Fontes et al", "url": "https://cyclostationary.blog/2016/11/08/comments-on-cyclostationary-correntropy-definition-and-application-by-fontes-et-al/?utm_source=rss&utm_medium=rss&utm_campaign=comments-on-cyclostationary-correntropy-definition-and-application-by-fontes-et-al", "published_at": "2016-11-08T23:24:05+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2ecfc73c3", "title": "Blog Notes and New-Post Poll", "url": "https://cyclostationary.blog/2016/10/06/blog-notes-and-new-post-poll/?utm_source=rss&utm_medium=rss&utm_campaign=blog-notes-and-new-post-poll", "published_at": "2016-10-06T16:13:50+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2edac58fd", "title": "100-MHz Amplitude Modulation? Comments on “Sub-Nyquist Cyclostationary Detection for Cognitive Radio” by Cohen and Eldar", "url": "https://cyclostationary.blog/2016/09/22/100-mhz-amplitude-modulation/?utm_source=rss&utm_medium=rss&utm_campaign=100-mhz-amplitude-modulation", "published_at": "2016-09-22T17:47:55+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2ee4aacef", "title": "Cyclostationarity of Digital QAM and PSK", "url": "https://cyclostationary.blog/2016/08/22/cyclostationarity-of-digital-qam-and-psk/?utm_source=rss&utm_medium=rss&utm_campaign=cyclostationarity-of-digital-qam-and-psk", "published_at": "2016-08-22T23:45:12+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2eec88d0d", "title": "Signal Processing Operations and CSP", "url": "https://cyclostationary.blog/2016/08/21/signal-processing-operations-and-csp/?utm_source=rss&utm_medium=rss&utm_campaign=signal-processing-operations-and-csp", "published_at": "2016-08-22T00:51:36+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2efb21628", "title": "The Cycle Detectors", "url": "https://cyclostationary.blog/2016/06/05/the-cycle-detectors/?utm_source=rss&utm_medium=rss&utm_campaign=the-cycle-detectors", "published_at": "2016-06-05T20:28:12+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2efc56efa", "title": "Radio-Frequency Scene Analysis", "url": "https://cyclostationary.blog/2016/06/04/radio-frequency-scene-analysis/?utm_source=rss&utm_medium=rss&utm_campaign=radio-frequency-scene-analysis", "published_at": "2016-06-04T23:45:18+00:00" }, { "id": "01a0c582-667a-71c6-8980-6bc2f087adb3", "title": "CSP-Based Time-Difference-of-Arrival Estimation", "url": "https://cyclostationary.blog/2016/05/19/csp-based-time-difference-of-arrival-estimation/?utm_source=rss&utm_medium=rss&utm_campaign=csp-based-time-difference-of-arrival-estimation", "published_at": "2016-05-19T17:11:29+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c6ac398d", "title": "Square-Root Raised-Cosine PSK/QAM", "url": "https://cyclostationary.blog/2016/05/03/square-root-raised-cosine-pskqam/?utm_source=rss&utm_medium=rss&utm_campaign=square-root-raised-cosine-pskqam", "published_at": "2016-05-03T22:05:00+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c6ca0c3f", "title": "Blog Notes", "url": "https://cyclostationary.blog/2016/04/14/blog-notes/?utm_source=rss&utm_medium=rss&utm_campaign=blog-notes", "published_at": "2016-04-14T17:25:00+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c74c78f3", "title": "CSP Estimators: The Strip Spectral Correlation Analyzer", "url": "https://cyclostationary.blog/2016/03/22/csp-estimators-the-strip-spectral-correlation-analyzer/?utm_source=rss&utm_medium=rss&utm_campaign=csp-estimators-the-strip-spectral-correlation-analyzer", "published_at": "2016-03-22T15:18:34+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c7a66cc4", "title": "Conjugation Configurations", "url": "https://cyclostationary.blog/2016/02/29/conjugation-configurations/?utm_source=rss&utm_medium=rss&utm_campaign=conjugation-configurations", "published_at": "2016-03-01T00:04:44+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c8a1ac66", "title": "Second-Order Estimator Verification Guide", "url": "https://cyclostationary.blog/2016/02/24/second-order-estimator-verification-guide/?utm_source=rss&utm_medium=rss&utm_campaign=second-order-estimator-verification-guide", "published_at": "2016-02-24T20:15:10+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c8e6b3dc", "title": "Cyclic Temporal Cumulants", "url": "https://cyclostationary.blog/2016/02/14/cyclic-temporal-cumulants/?utm_source=rss&utm_medium=rss&utm_campaign=cyclic-temporal-cumulants", "published_at": "2016-02-14T19:55:46+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c918dca1", "title": "A Gallery of Spectral Correlation", "url": "https://cyclostationary.blog/2016/01/28/a-gallery-of-spectral-correlation/?utm_source=rss&utm_medium=rss&utm_campaign=a-gallery-of-spectral-correlation", "published_at": "2016-01-28T22:51:59+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c9240003", "title": "Textbook Signals", "url": "https://cyclostationary.blog/2016/01/19/textbook-signals/?utm_source=rss&utm_medium=rss&utm_campaign=textbook-signals", "published_at": "2016-01-19T19:16:36+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c964e589", "title": "SCF Estimate Quality: The Resolution Product", "url": "https://cyclostationary.blog/2016/01/08/scf-estimate-quality-the-resolution-product/?utm_source=rss&utm_medium=rss&utm_campaign=scf-estimate-quality-the-resolution-product", "published_at": "2016-01-08T17:25:11+00:00" }, { "id": "01a0c590-613c-7372-86f1-5ac8c9e7522c", "title": "The Spectral Coherence Function", "url": "https://cyclostationary.blog/2016/01/08/the-spectral-coherence-function/?utm_source=rss&utm_medium=rss&utm_campaign=the-spectral-coherence-function", "published_at": "2016-01-08T17:04:44+00:00" } ] posts Claim your blog
Back to Cyclostationary Signal Processing – Understanding and Using the Statistics of Communication Signals
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Cyclostationary Signal Processing – Understanding and Using the Statistics of Communication Signals

cyclostationary.blog

2019

On Impulsive Noise, CSP, and Correntropyoriginal ↗
22 Aug 2019
Sponsoring the CSP Blogoriginal ↗
14 Jul 2019
For the Beginner at CSPoriginal ↗
14 Jul 2019
A Gallery of Cyclic Correlationsoriginal ↗
14 Jul 2019
On The Shouldersoriginal ↗
27 Apr 2019
Simple Synchronization Using CSPoriginal ↗
26 Apr 2019
100,000 Page Views!original ↗
26 Mar 2019
Can a Machine Learn a Power Spectrum Estimator?original ↗
1 Mar 2019
Dataset for the Machine-Learning Challenge [CSPB.ML.2018]original ↗
15 Feb 2019
MATLAB’s SSCA: commP25ssca.moriginal ↗
14 Jan 2019

2018

How we Learned CSPoriginal ↗
31 Oct 2018
Useful Signal Processing Blogs or Websites?original ↗
27 Sept 2018
Comments on “Detection of Almost-Cyclostationarity: An Approach Based on a Multiple Hypothesis Test” by S. Horstmann et aloriginal ↗
14 Aug 2018
A Challenge for the Machine Learnersoriginal ↗
24 Jun 2018
CSP Estimators: The FFT Accumulation Methodoriginal ↗
1 Jun 2018
‘Can a Machine Learn the Fourier Transform?’ Redux, Plus Relevant Comments on a Machine-Learning Paper by M. Kulin et al.original ↗
27 Feb 2018

2017

Computational Costs for Spectral Correlation Estimatorsoriginal ↗
6 Dec 2017
CSP Patent: Tunnelingoriginal ↗
9 Nov 2017
Resolution in Time, Frequency, and Cycle Frequency for CSP Estimatorsoriginal ↗
3 Nov 2017
CSP Estimators: Cyclic Temporal Moments and Cumulantsoriginal ↗
11 Sept 2017
Can a Machine Learn the Fourier Transform?original ↗
3 Aug 2017
CSP Blog Highlightsoriginal ↗
4 Jun 2017
Automatic Spectral Segmentationoriginal ↗
30 May 2017
Blog Notes and How to Obtain Help with Your CSP Workoriginal ↗
13 Apr 2017
More on Pure and Impure Sine Wavesoriginal ↗
5 Apr 2017
Cyclostationarity of Direct-Sequence Spread-Spectrum Signalsoriginal ↗
28 Mar 2017
Cumulant (4, 2) is a Good Discriminator? Comments on “Energy-Efficient Processor for Blind Signal Classification in Cognitive Radio Networks,” by E. Rebeiz et al.original ↗
12 Feb 2017
Machine Learning and Modulation Recognition: Comments on “Convolutional Radio Modulation Recognition Networks” by T. O’Shea, J. Corgan, and T. Clancyoriginal ↗
1 Feb 2017
Modulation Recognition Using Cyclic Cumulants, Part I: Problem Description and Variantsoriginal ↗
16 Jan 2017

2016

Comments on “Blind Cyclostationary Spectrum Sensing in Cognitive Radios” by W. M. Jangoriginal ↗
3 Dec 2016
The Periodogramoriginal ↗
1 Dec 2016
Cyclic Polyspectraoriginal ↗
12 Nov 2016
Comments on “Cyclostationary Correntropy: Definition and Application” by Fontes et aloriginal ↗
8 Nov 2016
Blog Notes and New-Post Polloriginal ↗
6 Oct 2016
100-MHz Amplitude Modulation? Comments on “Sub-Nyquist Cyclostationary Detection for Cognitive Radio” by Cohen and Eldaroriginal ↗
22 Sept 2016
Cyclostationarity of Digital QAM and PSKoriginal ↗
22 Aug 2016
Signal Processing Operations and CSPoriginal ↗
22 Aug 2016
The Cycle Detectorsoriginal ↗
5 Jun 2016
Radio-Frequency Scene Analysisoriginal ↗
4 Jun 2016
CSP-Based Time-Difference-of-Arrival Estimationoriginal ↗
19 May 2016
Square-Root Raised-Cosine PSK/QAMoriginal ↗
3 May 2016
Blog Notesoriginal ↗
14 Apr 2016
CSP Estimators: The Strip Spectral Correlation Analyzeroriginal ↗
22 Mar 2016
Conjugation Configurationsoriginal ↗
1 Mar 2016
Second-Order Estimator Verification Guideoriginal ↗
24 Feb 2016
Cyclic Temporal Cumulantsoriginal ↗
14 Feb 2016
A Gallery of Spectral Correlationoriginal ↗
28 Jan 2016
Textbook Signalsoriginal ↗
19 Jan 2016
SCF Estimate Quality: The Resolution Productoriginal ↗
8 Jan 2016
The Spectral Coherence Functionoriginal ↗
8 Jan 2016
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