General Euler Hadamard/DFT/DCT Polynomial Function for Complex Signal Processing

2009 ◽  
Author(s):  
Jia Hou ◽  
Moon Ho Lee
Keyword(s):  
Signal Processing ◽  
Polynomial Function ◽  
Complex Signal

scholarly journals Complex signal processing in synthetic gene circuits using cooperative regulatory assemblies

Science ◽  
2019 ◽  
Vol 364 (6440) ◽  
pp. 593-597 ◽  
Author(s):  
Caleb J. Bashor ◽  
Nikit Patel ◽  
Sandeep Choubey ◽  
Ali Beyzavi ◽  
Jané Kondev ◽  
...  
Keyword(s):  
Signal Processing ◽  
Self Assembly ◽  
Design Principle ◽  
Complex Signal ◽  
Synthetic Gene Circuits ◽  
Cellular Decision Making ◽  
Eukaryotic Genes ◽  
Transcription Factor Complexes ◽  
Dynamic Filtering ◽  
Cooperative Assembly

Eukaryotic genes are regulated by multivalent transcription factor complexes. Through cooperative self-assembly, these complexes perform nonlinear regulatory operations involved in cellular decision-making and signal processing. In this study, we apply this design principle to synthetic networks, testing whether engineered cooperative assemblies can program nonlinear gene circuit behavior in yeast. Using a model-guided approach, we show that specifying the strength and number of assembly subunits enables predictive tuning between linear and nonlinear regulatory responses for single- and multi-input circuits. We demonstrate that assemblies can be adjusted to control circuit dynamics. We harness this capability to engineer circuits that perform dynamic filtering, enabling frequency-dependent decoding in cell populations. Programmable cooperative assembly provides a versatile way to tune the nonlinearity of network connections, markedly expanding the engineerable behaviors available to synthetic circuits.

Analog / Mixed-Signal / RF Circuits for Complex Signal Processing

2019 ◽  
Author(s):  
Haruo Kobayashi ◽  
Nene Kushita ◽  
Minh Tri Tran ◽  
Koji Asami ◽  
Hao San ◽  
...  
Keyword(s):  
Signal Processing ◽  
Rf Circuits ◽  
Complex Signal ◽  
Mixed Signal

Is complex signal processing for bone conduction hearing aids useful?

2014 ◽  
Vol 15 (sup1) ◽  
pp. S47-S50 ◽  
Author(s):  
Martin Kompis ◽  
Anja Kurz ◽  
Flurin Pfiffner ◽  
Pascal Senn ◽  
Andreas Arnold ◽  
...  
Keyword(s):  
Signal Processing ◽  
Hearing Aids ◽  
Bone Conduction ◽  
Complex Signal ◽  
Bone Conduction Hearing

scholarly journals Static Mapping of Functional Programs: An Example in Signal Processing

1996 ◽  
Vol 5 (2) ◽  
pp. 121-135
Author(s):  
Jack B. Dennis
Keyword(s):  
Signal Processing ◽  
Program Transformation ◽  
The Other ◽  
Processing Element ◽  
Complex Signal ◽  
Massive Parallelism ◽  
Processing Elements ◽  
Program Description ◽  
The Given ◽  
Program Modules

Complex signal-processing problems are naturally described by compositions of program modules that process streams of data. In this article we discuss how such compositions may be analyzed and mapped onto multiprocessor computers to effectively exploit the massive parallelism of these applications. The methods are illustrated with an example of signal processing for an optical surveillance problem. Program transformation and analysis are used to construct a program description tree that represents the given computation as an acyclic interconnection of stream-processing modules. Each module may be mapped to a set of threads run on a group of processing elements of a target multiprocessor. Performance is considered for two forms of multiprocessor architecture, one based on conventional DSP technology and the other on a multithreaded-processing element design.

Tunable wavelength conversion based on a nanoscale slot waveguide in communication bands

2020 ◽  
Vol 34 (25) ◽  
pp. 2050260
Author(s):  
Rujing Guo ◽  
Mengxiong Han ◽  
Peiqi Wei ◽  
Shenwei Yin ◽  
Yan Ma
Keyword(s):  
Signal Processing ◽  
Near Infrared ◽  
Wavelength Conversion ◽  
Processing System ◽  
Geometric Dimension ◽  
Pulse Generation ◽  
Complex Signal ◽  
Slot Waveguide ◽  
Signal Processing System ◽  
Tunable Wavelength

This paper introduces a new nanoscale slot waveguide using organic material, graphene, and silicon-based materials. The physical mechanism of additional biased voltage can improve the performance of graphene-related waveguide, the proposed waveguide exhibits tunable performance including effective refractive index and dispersion without changing its structure and geometric dimension, which contributes to the practical value in future complex signal processing system. Based on the waveguide, wavelength conversion based on four-wave mixing is theoretically investigated in the near-infrared region and the tunable wavelength conversion is realized. These research results will have potential in the fields of data transmission and optical communications and help researchers deeply understand the physical mechanisms and nonlinear effects about the optical pulse generation processes and signal processing.

scholarly journals Digital Ultrasonic Sensing Device with Programmable Frequency: Development and Analysis

2021 ◽  
Vol 1 (1) ◽  
pp. 33-45
Author(s):  
Manish Man Shrestha ◽  
Bibek Ropakheti ◽  
Uddhav Bhattarai ◽  
Ajaya Adhikari ◽  
Shreeram Thakur
Keyword(s):  
Signal Processing ◽  
Ultrasonic Wave ◽  
Analog Circuit ◽  
Damage Index ◽  
Digital Signal ◽  
Ultrasonic Waves ◽  
Complex Signal ◽  
Ultrasonic Sensing ◽  
Low Pass ◽  
Signal Processing Algorithms

Ultrasonic wave is widely used in Structure Health Monitoring (SHM) systems. A piezoelectric transducer (PZT) is one of the most widely used sensors to acquire the structure's ultrasonic wave. As today's world is digital, it is necessary to digitize the traditional analog PZT sensing system. This paper describes the development and analysis of a digital ultrasonic sensing device (DUSD) for PZT sensors. We removed the complexities of the analog circuit by interfacing the microcontroller directly with the charge amplifier circuit. The microcontroller used in this research is a 32-bit ARM Cortex-M4 with in-built FPU (Floating Point Unit) and DSP (Digital signal processing) instructions. These features make it possible to compute complex signal processing algorithms and methods in the controller itself. The developed sensing device can communicate with the user and other devices using Universal Asynchronous Receiver/Transmitter (UART). The user can select cut-off frequencies of both high pass filters (HPF) and low pass filters (LPF) as well as types of data (ultrasonic waves, damage index) that the user wishes to collect from the device. To illustrate the proficiencies of the device, the ultrasonic wave was collected and evaluated to detect the damage in the test specimen.

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