Company Filing History:
Years Active: 2001
Title: Innovations of Zhao Kan in FIR Filter Architecture
Introduction
Zhao Kan is an accomplished inventor based in Austin, TX (US). He has made significant contributions to the field of digital signal processing, particularly through his innovative work on filter architectures. His expertise and creativity have led to the development of a unique FIR filter architecture that enhances performance while reducing computational requirements.
Latest Patents
Zhao Kan holds a patent for an "Efficient and scalable FIR filter architecture for decimation." This invention presents a scalable FIR filter architecture that requires fewer computations and less storage, while also being capable of parallel processing. The architecture reduces the number of computations, such as multiplication, by utilizing inherent symmetry. Additionally, it minimizes the number of storage elements by employing a transpose-form filter architecture instead of a direct-form one. This scalable filter can be adjusted to accommodate varying complexity levels, allowing for efficient processing by adding or subtracting processing blocks. The ability of these blocks to process signals independently and simultaneously enables parallel and distributive processing, meeting essential performance requirements.
Career Highlights
Zhao Kan is currently associated with Cirrus Logic Inc., where he continues to innovate and contribute to advancements in digital signal processing technologies. His work has not only enhanced the capabilities of FIR filters but has also paved the way for more efficient processing solutions in various applications.
Collaborations
Zhao has collaborated with notable colleagues, including Prabir C Maulik and Chadha S Mandeep. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Zhao Kan's contributions to FIR filter architecture exemplify the impact of innovative thinking in the field of digital signal processing. His work continues to influence the industry, showcasing the importance of efficiency and scalability in modern technology.