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March 2009

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Milestone 1000+ subscribers 1100+ comments

Krishna Sankar17 years ago17 years ago13 mins

Those who are regular visitors to dsplog.com might have noticed the small FeedBurner chicklet on the side showing subscriber count showing 1000+ subscribers. Its a nice milestone to reach, one that looked so distant when I wrote the first post stating the objective of this blog on 26th February 2007. We now have around 86…

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  • MIMO

Alamouti STBC with 2 receive antenna

Krishna Sankar17 years ago13 years ago1471 mins

In the past, we had discussed two transmit, one receive antenna Alamouti Space Time Block Coding (STBC) scheme. In this post, lets us discuss the impact of having two antennas at the receiver. For the discussion, we will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BPSK.

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  • Analog

IQ imbalance in transmitter

Krishna Sankar17 years ago13 years ago261 mins

Typical communication systems use I-Q modulation and we had discussed the need for I-Q modulation in the past. In this post, let us understand I-Q imbalance and its effect on transmit signal.

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16-PSK 16-QAM 802.11a 2012 AI Alamouti AWGN BPSK Capacity Communication conference Digital Diversity ECE electromagnetics eye diagram first order FSK GATE Gray IISc interpolation machine_learning Math MIMO ML MMSE noise Nyquist OFDM PAM pdf phase phase_noise PSK pulse shaping QAM raised cosine Rayleigh SIC STBC TETRA transmitter Viterbi ZF

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  • Word Embeddings using neural networks - DSP LOG on Gradients for multi class classification with Softmax
  • FEC Forward Error Correction on GNU Radio – Telecommunications, Navigation & Electronics on Bit Error Rate (BER) for BPSK modulation
  • 現代デジタル通信システムにおける耐ジャミング性の包括的分析:要求されるジャマー対信号比の算出(Gemini deepResearch のレポート) | SDR技術のまとめ on Bit Error Rate (BER) for frequency shift keying with coherent demodulation
  • Gradients for multi class classification with Softmax - DSP LOG on Gradients for linear regression
  • Gradients for multi class classification with Softmax - DSP LOG on Gradients for Binary Classification with Sigmoid
  • Krishna Sankar on Download free e-book on error probability in AWGN
  • rohini on Download free e-book on error probability in AWGN

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  • Word Embeddings using neural networks
  • Gradients for multi class classification with Softmax
  • Gradients for Binary Classification with Sigmoid
  • Gradients for linear regression
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