Explore MATLAB source code curated for "切比雪夫" with clean implementations, documentation, and examples.
Digital signal processing solutions with MATLAB implementations, featuring programs to design IIR digital filters using Butterworth, Chebyshev, and other approximation methods. Includes code-level explanations of filter design algorithms and key MATLAB functions.
Chebyshev: Approximation of known functions using Chebyshev polynomials. Legendre: Approximation using Legendre polynomials. Pade: Rational fraction approximation via Pade form. lmz: Optimal uniform approximation polynomial determination using Remez algorithm. ZJPF: Best mean square approximation polynomial for known functions. FZZ: Fourier series approximation for continuous periodic functions. DFF: Fourier approximation for discrete periodic data points. SmartBJ: Adaptive piecewise linear approximation. SmartBJ: Adaptive spline approximation (first kind). multifit: Polynomial curve fitting for discrete experimental data. LZXEC: Linear least squares fitting for discrete data points. ZJZXEC: Orthogonal polynomial least squares fitting for discrete experimental data.
MATLAB function approximation program containing implementations of multiple algorithms: Chebyshev approximation using Chebyshev polynomials, Legendre approximation using Legendre polynomials, Pade approximation using rational fractions, Remez algorithm (lmz) for optimal uniform approximation, ZJPF for optimal mean square approximation, and Fourier series (FZZ) approximation for continuous periodic functions.