Re: Waves S1 Stereo Imager Crack !!BETTER!!
Gro Bert
Before we get into breaking down the lead bus i wanted to make sure everyone has at least 1 good stereo widening plugin. I am a big fan of the waves s1, however i understand not everybody has waves. So i did some testing on the BEST FREE ones avail and this one REALLY stuck out! A1 Stereo Imager by Alex Hilton.
If you want to take full advantage of the 180-degree stereo field in your mix, then there is no better way to do so than with stereo imaging. With stereo imaging, you can push the limits of your individual instruments to create wider mixes.
What I love most about Ozone's stereo imager is that it gives you precise control of the stereo width of four different frequency bands. So you can make sure your sub frequency is in mono while spreading out your meds or highs.
There are two different modes within this plugin, including Stereoize I and II, the first of which gives you a colorful phaser effect and the other of which provides more subtle stereo enhancement. Just to note though, this is a much stripped down version of the stereo imager included in Ozone. While it sounds great, it offer only a limited amount of control compared to the full version.
Stereomaker is a great up-mixing tool that can convert any mono signal to a stereo one by creating a virtual Side channel for M/S processing. It ultimately allows you to retain the tight and focused center of a mono sound but balance it better against the sides. You can also chose specific frequencies to process.
Each of the included stereo imager VSTs offers a unique way to create width, depth, and space around a sound. It can be really fun to just experiment with these plugins and learn how to enhance the stereo image of your mix beyond panning.
Stereo imaging measurement of the sea surface elevation is based on single snapshots or time records captured by a pair of synchronized and calibrated cameras. The first projects to prospect the stereo photography use to measure sea surface topography was presented by1,2. However, the significant computational time required to extract the three-dimensional (3-D) elevation maps from a pair of images have limited the use of this technique until late 70s and early 80s with the works of3,4. In 19885, used a pair of cameras mounted on an oceanographic offshore tower to measure the 3-D sea surface elevation to observe the directional distribution of short-scale ocean waves. Later on6, applied similar stereographic measurement techniques to study the 2-D wavenumber spectrum of short gravity waves.
More recently7, describe a stereo vision technique to measure the water surface topography. They used a conventional stereographic technique algorithms to survey geodetic surfaces and static objects. Based on that8, proposed a partially supervised technique (Wave Acquisition Stereo System, WASS) to estimate the 3-D shape of water waves using video image analysis with high spatial and temporal resolutions. Despite the basic principle remains more or less the same9, optimized the8 technique and presented the first open source code version of WASS ( ).
Since the work by8, WASS and others similar stereo imaging systems have been widely used for different investigation purposes on ocean waves. For example10,11,12: used the foam footprint in the surface reflection to identified wave breaking in the video records, with that is possible observe the space and time evolution of breaking waves and investigate different properties of wave energy dissipation13,14,15,16 used stereo data to study the shape and likelihood of the highest waves, including maximum and rogue waves17,18; used the 3-D spectrum to explore non-linear waves properties like bound waves, second-order and harmonics, wave-current interactions and bi-modality. Stereo video system were also tested with certain level of success mounted over a moving vessels12,19,20 and21 also investigated its application in the surf zone.
In this paper, for the first time, we aim at presenting a valuable stereo-image data set, free available for the scientific community. This data set contains original records, calibration files, configuration files for processing, and examples of post-processed surface elevation maps collected during several oceanic campaigns, at different locations around the world ocean and under different sea state conditions. All this makes this data set especially useful to explore a common framework to investigate ocean waves and the sea surface dynamics.
BS records collected in 2011 and 2013: frequency spectrum \(E(f)\) estimated from the stereo system, compared with data from a wire wave gauge mounted on the platform. (Left) Example of BS 01 wave spectrum recorded by stereo video system compared with a wave gauge. The spectrum from stereo data is averaged over a 10.8-m side square analysis window, and thus the random sampling error is smaller for the shorter waves with many uncorrelated waves in the field of view. (Right) Comparison between wave gauge and stereo video wave spectrum for all BS records provided at this dataset. The color scale represents the wave frequency of that sampled data. In the gray box are shown the squared Pearson correlation coefficient (R2), the Root Mean Square Error (RMSE) and the Normalized Root Mean Square Error (NRMSE).
We developed an additional tool ( ) that provides the mapping between each image pixel (either from left or right camera) to the 3-D geographical reference frame of the grid stored in the NetCDF4 file. This way, any further processing can take into account both the luminance of each pixel and its 3-D location onto the sea-surface. Possible applications include the analysis of white-capped areas, the 3-D tracking of floating objects and measuring the shape and extent of individual waves. Note that this mapping is in general one-way (ie. from image to 3-D space) since cameras are angled with respect to the sea-surface and some 3-D points in the back-side of the waves are occluded by the crests. In this context, the wassncplot tool computes the correct intersection between the 3-D ray in space passing through the camera center and a pixel \(p\) with the gridded surface. Since multiple intersections may occur, only the one nearest to the camera is considered for the mapping. Operatively, the operation is performed by projecting each triangle of the grid to the image plane corresponding to one of the two stereo cameras. The coordinate of each grid vertex is interpolated considering the barycentric coordinates within each triangle corrected by the depth of the point. A Z-buffer is used to discard occluded points and produce the final mapping as a 3-dimensional data cube \(D\) of size (\(W\times H\times 3\)) in which the first two dimensions spans the image space and the third the 3-D coordinates of a point (ie. \(D_i,j,0,D_i,j,1,D_i,j,2\) are the \(x,y,z\) coordinates of the 3-D point corresponding into the pixel i, j in the image). Optionally, the tool can produce a rendering of the 3-D surface grid on top of the original images for a qualitative evaluation of the reconstructed data (See Fig. 6).
This is a method that will hold back your mixing. Panning and width make up so much of a mix that you are just unnecessarily holding back your mix by not starting in stereo. I imagine this method became popularized because mixes sound way better in stereo and people enjoyed flipping their mix back to stereo and seeing how much better it instantly sounded. To me this is like trying to edit color photos on a black and white monitor then switching on colors halfway through.
Surface gravity waves in the deep ocean in large part influence the transfer of scalar (heat, gas, moisture) and vector (momentum) quantities through the air-sea interface. In order to accurately estimate these fluxes, we must first achieve a more robust understanding of the physical processes that drive them. Images from three high resolution digital video cameras deployed on R/P FlIP during the HIRES experiment in June 2010 are analyzed to obtain a dense record of surface elevation in space and time. Variable wind-wave fields, paired with simultaneous measurements (e.g. wind speed, large- scale wave field, surface currents, air-sea flux) from instruments deployed on FLIP provide an unprecedented opportunity to better understand wind-wave processes over many scales. This work focuses on quantifying the properties of small scale surface gravity waves (20cm-150cm) as they are forced by changing environmental conditions and as they interact with larger waves. Frequency and wavenumber spectra are presented for varying wind conditions (0-25 m/s). Results are presented on the response of the small waves to environmental conditions. The modulation of the small-scale wave field by larger scale waves is also examined. - Indicates paper has been withdrawn from meeting - Indicates an Award WinnerSee more of: Sea Surface Processes, Including Waves, Spray, Bubbles, and Aerosol II
See more of: 18th Conference on Air-Sea Interaction>Follow Us
That's not to say there isn't an issue in CbB's handling of mono (I think there is - some mono plugins (eg. UAD?) perform better on mono tracks in other DAWs, but all CbB's tracks are, as far as I understand, stereo behind the scenes so this advantage is never gained - but it's not totally broken in this instance).
CME propagation direction and speed, size, and density structure are some of primary factors in determining the "geoeffectiveness", or terrestrial impact, of a CME. With radio probing and in situ observations from two identical stereoscopic spacecraft, the SWAVES experiment will track the radio emission associated with CME and suprathermal electron events in 3-D as they propagate from less than 1 RS above the photosphere out to 1 AU and beyond. Radio triangulation is effective for both off-limb and disk-center CME sources, but especially effective in the latter case. When coupled with white-light images, in situ plasma observations, and a modeling effort, SWAVES data will provide a crucial link in achieving the goals of the STEREO program. SWAVES will also make two-point observations of the in situ plasma waves and waveforms involved in the generation of the radio signatures of sun-Earth connection (SEC) events, which are essential for identifying and understanding the nature of the radio emission mechanisms. Two-point wave measurements in the radio source region, when complemented by suprathermal electron observations allow the determination of large-scale CME-driven shock structure, as well as the spatial structure of flare-associated electron beams. The full set of plasma wave measurements necessary to determine wave dispersion (3 electric and 1 magnetic components) has never previously been made in the source region of an interplanetary radio burst.
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