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R.E. Crochiere, “Optimum FIR digital filter implementations for decimation, interpolation, and narrow-band filtering,” IEEE Trans. on acoustics speech and signal processing, vol. ASSP-23, no. 5, October 1975.
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R.E. Crochiere, “Optimum FIR digital filter implementations for decimation, interpolation, and narrow-band filtering,” IEEE Trans. on acoustics speech and signal processing, vol. ASSP-23, no. 5, October 1975.
“R.E. Crochiere, “Optimum FIR digital filter implementations for decimation, interpolation, and narrow-band filtering,” IEEE Trans. on acoustics speech and signal processing, vol. ASSP-23, no. 5, October 1975”
The world of digital signal processing is vast and complex, with various techniques and methods being used to analyze and manipulate signals. One of the key figures in this field is R.E. Crochiere, who made significant contributions to the development of digital filters. In his seminal paper, “Optimum FIR digital filter implementations for decimation, interpolation, and narrow-band filtering,” published in the IEEE Transactions on Acoustics, Speech, and Signal Processing in 1975, Crochiere presented a comprehensive analysis of digital filter implementations. This paper has had a lasting impact on the field of signal processing and continues to be referenced by researchers and engineers today.
The paper focuses on the implementation of Finite Impulse Response (FIR) digital filters, which are widely used in various applications such as audio processing, image processing, and telecommunications. FIR filters are preferred over Infinite Impulse Response (IIR) filters due to their stability and linear phase response. Crochiere’s paper presents a detailed analysis of the optimum implementation of FIR filters for decimation, interpolation, and narrow-band filtering. Decimation and interpolation are techniques used to change the sampling rate of a signal, while narrow-band filtering is used to extract specific frequency components from a signal. The paper provides a comprehensive framework for designing and implementing FIR filters for these applications, taking into account factors such as filter length, coefficient quantization, and computational complexity.
The significance of Crochiere’s paper lies in its comprehensive treatment of digital filter implementation. The paper presents a detailed analysis of the trade-offs involved in designing and implementing FIR filters, including the choice of filter length, coefficient precision, and arithmetic complexity. The paper also provides a framework for evaluating the performance of different filter implementations, taking into account factors such as filter frequency response, group delay, and noise sensitivity. The techniques and methods presented in the paper have been widely adopted in the field of signal processing and have had a significant impact on the development of digital signal processing systems.
Today, digital signal processing is a ubiquitous technology that is used in a wide range of applications, from audio and image processing to telecommunications and biomedical engineering. The techniques and methods presented in Crochiere’s paper continue to be relevant and are widely used in the development of digital signal processing systems. The paper’s emphasis on the importance of careful filter design and implementation has had a lasting impact on the field, and its influence can be seen in the many digital signal processing systems that are in use today. As the field of signal processing continues to evolve, the principles and techniques presented in Crochiere’s paper will remain an essential part of the signal processing toolkit, providing a foundation for the development of new and innovative digital signal processing systems. Keywords: digital signal processing, FIR filters, decimation, interpolation, narrow-band filtering, filter implementation, signal processing systems.
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