Background: Multisystemic Therapy (MST) and Functional Family (FFT) are evidence-based Blueprint programs shown to be effective towards youth problem behaviors. Purpose: The present study aimed investigate treatment outcomes following MST FFT among Norwegian youths with serious behavior problems. Research design: Routine Outcome Monitoring (ROM) data of the Youth Level Service/Case Management I...

Fast Fourier Transform (FFT) plays an important role in the field of digital signal processing. High performance FFT processors are widely used in different application, such as speech processing, image processing, and communication system. In this paper, we proposed a novel register array based low power FFT processor for Mel Frequency Cepstral Coefficient (MFCC). Compared with [9-12], this no...

The discovery of the fast Fourier transform (FFT) algorithm and the subsequent development of algorithmic and numerical methods based on it have had an enormous impact on the ability of computers to process digital representations of signals, or functions. At first, the FFT was regarded as entirely new. However, attention and wide publicity led to an unfolding of its pre-electronic computer his...

This evaluation compared the efficiency and effectiveness of Functional Family Therapy-Child Welfare (FFT-CW®, n=1625) to Usual Care (UC: n=2250) in reducing child maltreatment. FFT-CW® is a continuum of care model based on the family's risk status. In a child welfare setting, families received either UC or FFT-CW® in a quasi-experimental, stepped wedge design across all five boroughs of New Yo...

The fast Fourier transform (FFT) is the cornerstone of many supercomputer applications and therefore needs careful performance tuning. Most often, however, the real performance of the FFT implementations is far below the acceptable figures. In this paper, we explore several strategies for performance optimisations of the FFT computation, such as enhancing instruction-level parallelism, loop mer...

The split-radix FFT computes a size-n complex DFT, when n is a large power of 2, using just 4n lgn−6n+8 arithmetic operations on real numbers. This operation count was first announced in 1968, stood unchallenged for more than thirty years, and was widely believed to be best possible. Recently James Van Buskirk posted software demonstrating that the split-radix FFT is not optimal. Van Buskirk’s ...

In this experiment we are asked to compress discrete time data by storing only the most significant points of the data's FFT. If every point in the FFT is stored, it is possible to recover the original signal exactly. But by effectively zeroing out less significant points in the FFT, we elect to introduce some error into the reconstructed signal in order to reduce the amount of storage space. T...

An improved algorithm named "twice-FFT" for multi-point intrusion location in distributed Sagnac sensing system is proposed and demonstrated. To find the null-frequencies more accurately and efficiently, a second FFT is applied to the frequency spectrum of the phase signal caused by intrusion. After Gaussian fitting and searching the peak response frequency in the twice-FFT curve, the intrusion...

Quantics tensor train (QTT), a new data-sparse format for one– and multi–dimensional vectors, is based on a bit representation of mode indices followed by a separation of variables. A radix-2 reccurence, that lays behind the famous FFT algorithm, can be efficiently applied to vectors in the QTT format. If input and all intermediate vectors of the FFT algorithm have moderate QTT ranks, the resul...