Investigation of FIR Filter Design with Computational Tools for Audio Signal Processing
Keywords:
Audio signal, signal processing, FIR filter, Matlab, octaveAbstract
In This paper "Investigation of FIR Filter Design with Computational Tools for Audio Signal Processing" explores the synergies between Finite Impulse Response (FIR) filter design techniques and modern computational tools like MATLAB and Octave. The study emphasizes the fundamental role of FIR filters in shaping the frequency response of audio signals and discusses various design methods. By seamlessly integrating these techniques with computational tools, the paper demonstrates a versatile platform for efficient implementation and real-time analysis in audio signal processing.
Practical demonstrations using representative audio signals illustrate the impact of FIR filter design on crucial audio parameters. Octave is a powerful open-source programming language primarily used for numerical computations and data analysis, similar to MATLAB. It provides a user-friendly environment for scientific and engineering applications. Octave supports various data types, including matrices, vectors, and scalars, making it suitable for handling complex mathematical operations efficiently. Its syntax is largely compatible with MATLAB, allowing users familiar with MATLAB to transition smoothly to Octave. The study highlights the collective potential of FIR filter design and computational tools to advance audio signal processing, providing valuable insights for researchers, practitioners, and educators in the field.
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