CIC Filters Explained for FPGA-Based Software-Defined Radios скачать в хорошем качестве

CIC Filters Explained for FPGA-Based Software-Defined Radios

In this video, Dr. Paul Kerstetter explains CIC (Cascaded Integrator–Comb) filters and why they are a critical building block in software-defined radio (SDR) systems implemented on FPGAs. Using an FM radio receiver as an example, we walk through a typical FPGA-based SDR signal chain—from high-speed ADC sampling and digital downconversion to decimation and FM demodulation. You’ll see why a 160 MHz sample rate is far higher than needed for audio processing, and how CIC filters enable efficient sample-rate reduction while conserving FPGA resources. We cover: • What a CIC filter is and why it’s so efficient • How decimation works and why filtering is required • Nyquist’s sampling theorem and aliasing • The integrator–comb structure and its frequency response • How comb filter zeros suppress aliases during decimation • The impact of filter order (N) on stopband attenuation • How CIC filters and low-pass filters work together • Using the Vivado CIC Compiler IP, including stages, differential delay, and decimation rate CIC filters are especially attractive because they require no multipliers—only adders, subtractors, and delays—making them ideal for FPGA and ASIC designs. If you’re working with SDRs, digital signal processing, or FPGA-based systems, this video will help you understand when and why to use CIC filters, and how they fit into real-world designs. 📘 The Joy of Doing Less Unrelated to this video, but I’ve written a short book on simplicity and doing less. https://www.amazon.com/Joy-Doing-Less... If you found this helpful, please like the video, subscribe to the channel, and thanks for watching! ________________________________________ Hashtags: #CICFilter #SoftwareDefinedRadio #SDR #FPGA #DigitalSignalProcessing #DSP #Decimation #Nyquist #Vivado #Xilinx #FPGADesign #SignalProcessing #FMReceiver #DigitalDownconversion