Brain research is concerned with two types of electrophysiological signals: neural action potentials (AP), which are also known as spikes, and local field (LFP). The demand for an increased spatial temporal resolution leads to enlarged data rate has be handled by assumed wireless link between the signal sources base station. Without compression, these rates would conflicting neurophysiological restrictions in terms low energy area consumption. theory Compressed Sensing (CS) can utilized...

Orthogonal Matching Pursuit (OMP) is a greedy algorithm well-known for its applications to Compressed Sensing. For this work it serves as toy problem of rapid digital design flow based on high-level synthesis (HLS). HLS facilitates extensive space exploration in connection with data type-agnostic programming methodology. Nonetheless, some algorithmic transformations are needed obtain optimised architectures. OMP contains least squares orthogonalisation step, yet iterative selection strategy...

Machine-type communications are quite often of very low data rate and sporadic nature therefore not well-suited for nowadays high cellular communication systems. Since signaling overhead must be reasonable in relation to message size, research towards joint activity estimation was initiated. When the detection multiuser signals is modeled as a sparse vector recovery problem, concerning node can avoided it demonstrated previous works. In this paper we show how well-known K-Best modified...

Progress in invasive brain research relies on signal acquisition at high temporaland spatial resolutions, resulting a data deluge the (wireless) interface to external world. Hence, compression implant site is necessary order comply with neurophysiological restrictions, especially when it comes recording and transmission of neural raw data. This work investigates correlations signals, leading significant increase suitable sparse representation before wireless site. Subsequently, we used...

This paper presents a novel approach for compressing neural signals. topic is especially important the realization of implantable measurement systems (NMS) since they are subject to strict constraints with regard area and energy consumption. The handling high data rate becomes major within NMS. Compared often applied Compressed Sensing (CS) technique an steaming from image restoration NMS in this work first time: Inpainting strategies. proposed as well CS focus on resource efficiency...

Bivariate function approximation has proven its feasibility in terms of hardware-efficient arithmetic signal processing. However, impact on high performance QR decomposition (QRD) only been roughly studied so far. In this paper, a novel hardware architecture for Givens-Rotation-based QRD is proposed targeting efficient To end, an ingenious triangular systolic array structure considered. Complex-valued matrices are efficiently processed by means sophisticated bivariate numeric methodology....

This paper presents a new analog-to-digital converter (ADC) topology for continuous brain monitoring, which achieves low power operation by using compressed sensing (CS) sub-Nyquist data acquisition, reducing the number of required amplifiers compared to other implementations. The is validated simulations with real-world measured neurological data.

The aim of this study is to present the first compression and reconstruction methodology based on patch ordering inpainting algorithm for monitoring neural activity. This novel in-painting approach especially important technical realization implantable measurement systems (NMS) since they are subject strict resource limitations as area energy consumption. Intersection masks with center square well random-based utilized suitable data considering inpainting. proposed outperforms...

Multiuser detection can be implemented at the sink of a sensor network to receive various signals its nodes. This is viable approach as long number nodes small. In case many nodes, decoding considered technically infeasible, but assuming low transmission activities, sparse nature utilized. this paper, we propose sphere algorithm perform maximum likelihood based on an extended distance metric that takes priori probability into account. By intentionally violating ideal check constraint,...

In this paper the first low-latency architecture design and hardware implementation for structure-based inpainting to detect complete isophotes in brain activity recording is presented. This novel mask-based compression inpainting-based reconstruction methodology correlated neural signals especially important realization of implantable measurement systems (NMS) due restrictions terms area energy. The data obtained by on/off controlling electrodes on implant side. parallel based a synchronous...

This paper presents the first hardware architecture for compressing and reconstructing correlated neural signals using structure-based inpainting. novel methodology is especially important realization of implantable measurement systems (NMS), which are subject to strict constraints in terms area energy consumption. Such an implant only requires a defined controlling electrode activity compress data. To achieve efficient implementation with high throughput at data recovery, approximately...

Consensus-based algorithms are a welcome approach to establish cooperative communication systems. In this work, it has been utilized present hardware architecture for distributed data detection in receiver with several sensor nodes on an easily scalable regular network. Additionally, is capable detect the transmitted message even if single node fails operate. On top of that, processing executed vector-based application specific instruction set processors as cores. This makes very flexible...

Massive MIMO systems have become more popular in wireless communications due to their improved spectral efficiency compared existing small-scale systems. However, current estimation methodes take too long for larger numbers of antennas. In this paper, a near-optimal iterative linear signal detection massive is introduced exploiting the random projection method approximate channel matrix significantly lower dimensional space. This then used as preconditioner conjugate gradient least squares...

This work presents fast and efficient patch matching ordering techniques for a novel inpainting-based compression reconstruction methodology to continuously monitor neural activity. The mask-based is especially relevant the technical realization of fully implantable measurement systems (NMS), because restrictions regarding area energy consumption. Novel approaches decompression significantly reduce number computations procedure smooth patches (SOP) by restricted neighboring search along...

The rapid architecture design paradigm of highlevel synthesis (HLS) facilitates extensive space exploration without much effort. Modern HLS compilers, like Xilinx Vivado HLS, support the evaluation different architectures by so-called directives. We propose to extend capabilities through a data type-agnostic programming methodology. Automated shell scripts, link between tool and Mathworks Matlab generation large numbers test vectors as stimuli our designs for bit-accurate verification...

High-performance QR-decomposition is a key request in many different application areas, e.g., multi-antenna wireless communication systems. In order to achieve high performance, bivariate numeric function approximations have turned out be promising approach, though it has only been marginal considered so far. this paper we leverage existing hardware architectures by exploiting novel and high-performance approximation technique for bivariate, trigonometric functions. An enhanced piecewise...

A Sphere Decoder is a popular tree search algorithm for the solution of integer least squares minimisation problems. It has gained considerable attention its application to maximum likelihood detection digitally modulated signals in MIMO communication systems and can almost universally be applied plethora problems with some modifications sphere constraint. This creates need baseline digital hardware design configurable Decoder, which adjusted various applications. paper presents...