Subroutine Implementation for Digital Interpolating Upconversion and Lowpass Filter
Subroutine design for digital interpolating upconversion and lowpass filtering with comprehensive system debugging process
Explore MATLAB source code curated for "低通滤波器" with clean implementations, documentation, and examples.
Subroutine design for digital interpolating upconversion and lowpass filtering with comprehensive system debugging process
In this system, the information sequence undergoes FSK modulation first, followed by a low-pass filter with 25kHz cutoff frequency to constrain signal bandwidth. The filtered signal is then upconverted via a mixer to higher transmission frequencies. At the receiver, synchronized frequency-hopping signals perform downconversion (de-hopping occurs here), with lower sideband extraction preceding FSK demodulation. Implementation involves digital signal processing algorithms for modulation/demodulation and mixer operations using trigonometric functions.
Digital image processing techniques for filtering and Fourier compression, including Ideal Low-Pass Filter, Butterworth High-Pass Filter, Gaussian Band-Pass Filter, Gaussian Band-Stop Filter, and FFT-based image compression. Implementation examples with comparative screenshots of original and processed images are provided.
Signal Processing Implementation in MATLAB: Utilizing Low-Pass and High-Pass Filters to Generate Square Wave Outputs with Practical Code Examples
The primary frequency domain low-pass filters include Ideal, Butterworth, and Gaussian types, commonly implemented in digital signal processing for high-frequency attenuation.
Filtering of human ECG signals using a Butterworth low-pass filter to remove 50Hz power line interference, with comparison of filter performance across different orders and implementation details
FIR Hamming Window Filter and IIR Bilinear Transform Method for Low-Pass Filter Design, Applied to ECG Signal Filtering
Generate a sinusoidal signal, add white noise to create a mixed signal, and process the white noise using a low-pass filter. Key parameters such as sine wave frequency, amplitude, noise intensity, and spectral characteristics can be configured for customized signal processing analysis.
M-file source code for a filter implementation in MATLAB, specifically demonstrating a low pass filter design with Butterworth coefficients for signal smoothing and noise reduction.
Sampling of voice signals, spectral analysis, and design of low-pass and high-pass filters (including IIR and FIR) for processing and analysis