Posts by Jason Thai
Filtering Basics: Importance of Linear Phase
Linear phase and computation/memory complexity are important characteristics to consider when designing digital filters. When a filter has linear phase, all input frequency components are shifted in time by the same amount. [..]
Filtering in the Frequency Domain
In this blog, I will be showcasing two simple applications derived from the Convolution Theorem:
Nyquist Rate and Antialiasing Filter Explained
In mud pulse telemetry, we use a sync signal for synchronization. A commonly used sync signal are four equally spaced pulses. The sync signal allows us to align the data properly for decoding. After synchronization, pulse [..]
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